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Basic Concepts and Assumptions

Patrick Dattalo

in Analysis of Multiple Dependent Variables

Published in print:
2013
Published Online:
May 2013
ISBN:
9780199773596
eISBN:
9780199332564
Item type:
chapter
Publisher:
Oxford University Press
DOI:
10.1093/acprof:oso/9780199773596.003.0001
Subject:
Social Work, Research and Evaluation

This chapter begins with an introduction to multivariate procedures, which allow social workers and other human services researchers to analyze multidimensional social problems and interventions in ... More


Systems of Equations

Luc Bauwens, Michel Lubrano, and Jean-François Richard

in Bayesian Inference in Dynamic Econometric Models

Published in print:
2000
Published Online:
September 2011
ISBN:
9780198773122
eISBN:
9780191695315
Item type:
chapter
Publisher:
Oxford University Press
DOI:
10.1093/acprof:oso/9780198773122.003.0009
Subject:
Economics and Finance, Econometrics

This chapter aims to review how Bayesian inference can be applied to some of the so-called systems of equations models. These models can be defined in several forms including multivariate regression ... More


Results and Discussion

Ulrich Frey

in Sustainable Governance of Natural Resources: Uncovering Success Patterns with Machine Learning

Published in print:
2020
Published Online:
August 2021
ISBN:
9780197502211
eISBN:
9780197502242
Item type:
chapter
Publisher:
Oxford University Press
DOI:
10.1093/oso/9780197502211.003.0005
Subject:
Biology, Biomathematics / Statistics and Data Analysis / Complexity Studies, Biodiversity / Conservation Biology

This chapter presents the modeling results and their interpretation. First, the synthesis of success factors from existing success factor syntheses is developed and theoretically motivated. Then, the ... More


Choosing among Procedures for the Analysis of Multiple Dependent Variables

Patrick Dattalo

in Analysis of Multiple Dependent Variables

Published in print:
2013
Published Online:
May 2013
ISBN:
9780199773596
eISBN:
9780199332564
Item type:
chapter
Publisher:
Oxford University Press
DOI:
10.1093/acprof:oso/9780199773596.003.0006
Subject:
Social Work, Research and Evaluation

This chapter summarizes similarities and differences between multivariate analysis of variance (MANOVA), multivariate analysis of covariance (MANCOVA), multivariate multiple regression (MMR), and ... More


Filtering, smoothing and forecasting

J. Durbin and S.J. Koopman

in Time Series Analysis by State Space Methods: Second Edition

Published in print:
2012
Published Online:
December 2013
ISBN:
9780199641178
eISBN:
9780191774881
Item type:
chapter
Publisher:
Oxford University Press
DOI:
10.1093/acprof:oso/9780199641178.003.0004
Subject:
Mathematics, Probability / Statistics

This chapter begins with a set of four lemmas from elementary multivariate regression which provides the essentials of the theory for the general linear state space model from both a classical and a ... More


Methods

Ulrich Frey

in Sustainable Governance of Natural Resources: Uncovering Success Patterns with Machine Learning

Published in print:
2020
Published Online:
August 2021
ISBN:
9780197502211
eISBN:
9780197502242
Item type:
chapter
Publisher:
Oxford University Press
DOI:
10.1093/oso/9780197502211.003.0004
Subject:
Biology, Biomathematics / Statistics and Data Analysis / Complexity Studies, Biodiversity / Conservation Biology

The three statistical analysis methods used are presented: multivariate linear regression, random forests, and artificial neural networks. Their respective advantages and disadvantages are discussed ... More


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